
Haystack for component-based retrieval pipelines
Wire document stores, retrievers, rankers and generators into explicit pipelines.
Explore AI projects, understand what they do and find something you can build with.
Showing 121–126 of 224 projects · Page 21 of 38

Wire document stores, retrievers, rankers and generators into explicit pipelines.

Build ingestion, indexing and query workflows around external data.

Combine vector, keyword and other search signals over the same document collection.

Embed approximate nearest-neighbor search directly in an application or experiment.

Connect Python applications to turbopuffer's hosted search API.

Build search applications that combine text, vectors and ranking functions.
Each page introduces the project, explains its capabilities and highlights practical takeaways. Follow the repository link for the latest documentation and setup instructions.
Sign in, choose Add Repo and paste the main URL of a public AI repository, not a file or issue link. Franklin AI uses the project’s README to build and publish a page and links your contribution to your profile. Each account can add up to 20 repositories a day.
Private repositories cannot be added. If the README is too short for an automatic page, or the project is already being reviewed, the repository is saved in your submissions with the reason for an admin to complete, and you are credited when it is published.
Its existing page stays as it is. Adding it again links that page to your profile instead of creating a second one.
Use the Category filter. Each card shows its categories, such as AI Agents or AI Development, and the repository’s owner and name.